Xingchi Liu

According to our database, Xingchi Liu authored at least 19 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Rapid Instrument Exchange System for Humanoid Robots in Minimally Invasive Surgery.

Bingcong Zhang, Yihang Lyv, Lianbo Ma, Yushi He, Pengfei Wei, Xingchi Liu, Jinhua Li, Jianchang Zhao, Lizhi Pan

CoRR, April, 2026

Spatio-temporal deep kernel Gaussian process for state prediction with time series measurements.

Yifei Zhu, Xingchi Liu, Richard Oliver Lane, Nidhal Bouaynaya, Lyudmila Mihaylova

Signal Process., 2026

A robotic surgery system for laparoscopic surgery equipped with decoupled motion and distal rotation surgical instruments.

Xingchi Liu, Xu Jiang, Jianchang Zhao, Bo Yi, Jinhua Li, Shuxin Wang

Robotics Auton. Syst., 2026

Enhancing telesurgical safety with predictive digital twin synchronization: a framework for latency compensation in robotic surgery.

Hang Yuan, Junjie Li, Bo Guan, Guangdi Chu, Wei Jiao, Hongzhi Zheng, Xingchi Liu, Jianchang Zhao, Jinhua Li, Jianmin Li, Xuecheng Yang, Haitao Niu

npj Digit. Medicine, 2026

2025

Bayesian Optimisation for Sensor Scheduling and Tracking with Different Acquisition Functions.

Alicja Szwalek, Xingchi Liu, Chenyi Lyu, Alasdair Hunter, Lyudmila Mihaylova

Proceedings of the IEEE Sensor Data Fusion: Trends, Solutions, Applications, 2025

2024

Analysis of Spatiotemporal Characteristics and Influencing Factors of Land Urbanization Level in China at Different Scales Based on Nighttime Light Remote Sensing.

Zhaoxu Zhang, Xingchi Liu, Jiayi Li, Shihong Fu, Yuanheng Sun, Rongfeng Qiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Efficient Centralised and Decentralised Gaussian Process Approaches for Online Tracking within Stone Soup.

Chenyi Lyu, Xingchi Liu, James Wright, Jordi Barr, Alasdair Hunter, Lyudmila Mihaylova

Proceedings of the 27th International Conference on Information Fusion, 2024

Active Sensing for Target Tracking: A Bayesian Optimisation Approach.

Xingchi Liu, Lyudmila Mihaylova

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Risk-Aware Contextual Learning for Edge-Assisted Crowdsourced Live Streaming.

Xingchi Liu, Mahsa Derakhshani, Lyudmila Mihaylova, Sangarapillai Lambotharan

IEEE J. Sel. Areas Commun., March, 2023

Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking Over Wireless Sensor Networks.

Xingchi Liu, Lyudmila Mihaylova, Jemin George, Tien Pham

IEEE J. Sel. Top. Signal Process., January, 2023

2022

Bayesian optimisation-Assisted Neural Network Training Technique for Radio Localisation.

Xingchi Liu, Peizheng Li, Ziming Zhu

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Review of Recent Advances in Gaussian Process Regression Methods.

Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova

Proceedings of the Advances in Computational Intelligence Systems, 2022

Safety Motion Control and End Force Estimation Based on Angle Information in Robotic Flexible Endoscopy.

Bo Guan, Xingchi Liu, Zhikang Ma, Jianchang Zhao, Yuelin Zou, Jianmin Li

Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

Efficient Factorisation-based Gaussian Process Approaches for Online Tracking.

Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova

Proceedings of the 25th International Conference on Information Fusion, 2022

A Learning Distributed Gaussian Process Approach for Target Tracking over Sensor Networks.

Xingchi Liu, Chenyi Lyu, Jemin George, Tien Pham, Lyudmila Mihaylova

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Contextual Learning for Content Caching With Unknown Time-Varying Popularity Profiles via Incremental Clustering.

Xingchi Liu, Mahsa Derakhshani, Sangarapillai Lambotharan

IEEE Trans. Commun., 2021

Risk-Aware Multi-Armed Bandits With Refined Upper Confidence Bounds.

Xingchi Liu, Mahsa Derakhshani, Sangarapillai Lambotharan, Mihaela van der Schaar

IEEE Signal Process. Lett., 2021

Globally Informative Thompson Sampling for Structured Bandit Problems with Application to CrowdTranscoding.

Xingchi Liu, Mahsa Derakhshani, Ziming Zhu, Sangarapillai Lambotharan

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2021

2019

Joint Transcoding Task Assignment and Association Control for Fog-Assisted Crowdsourced Live Streaming.

Xingchi Liu, Mahsa Derakhshani, Sangarapillai Lambotharan

IEEE Commun. Lett., 2019